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Spectral Reflectance, Growth and Chlorophyll Relationships for Rice Crop in a Semi-Arid Region of India

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Abstract

Relations among spectral reflectance, chlorophyll ‘a’, and growth of rice plants grown on irrigated light textured soil in a semi arid region are presented here. There was a linear relation between spectral reflectance and rice plant height (r = 0.97), for band 1 (0.45–0.52 μm) reflectance values. On the other hand, in bands 2 (0.52–0.60 μm) and 3 (0.63–0.69 μm), reflectance values decreased until 70 days after planting (DAP) and then increased during the reproductive phase of the crop. The near infrared band 4 (0.76–0.90 μm) showed a maximum reflectance at 59 DAP (panicle initiation stage) and a decline in reflectance thereafter through maturity. The peak value of IR/R ratio was 16.39 at 62 DAP during the early reproductive phase; thereafter, it declines gradually with the maturity of the crop. Chlorophyll ‘a’ concentration was high during early growth (vegetative and early reproductive stages) and decreased during the flowering and maturity stages. The rice plant canopy show a high chlorophyll ‘a’ concentration at 64 and 59 DAP for sites A and B, respectively. Chlorophyll ‘a’ concentration is higher in site A plant canopies than it is in site B during the entire crop cycle. A good inverse correlation (r = 0.91) has been found between chlorophyll ‘a’ and band 1, while the IR/R ratio and the normalised difference vegetation index (NDVI) showed a relationship (r = 0.78) with the chlorophyll ‘a’ concentration during the crop cycle. Band 2, 3 and 4 radiance values show a biphasic linear relationship with chlorophyll ‘a’ concentrations, negative for early growth and positive for flowering and maturity stages. Results indicate that the period between 66 to 70 DAP is most suitable for the assessment of rice crop yield, based on chlorophyll ‘a’ concentration.

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References

  • Ajai, Gopalan, A. K. S. and Kamat, D. S.: 1985, Discrimination of winter crops using temporal spectral profile, Int. J. Remote Sensing 6, 1575–1580.

    Google Scholar 

  • Baret, F. and Guyot, G.: 1991, Potential and limit of vegetative indices for LAI and APAR assessment, Remote Sensing Environ. 35, 161–174.

    Google Scholar 

  • Chandra, D. and Manna, G. B.: 1989, Influence of data of planting, age of seedling and plant population on productivity of long duration 'Gayatri rice' (Oryza Sativa), Indian J. Agricultural Sci. 59(7), 422–426.

    Google Scholar 

  • Chappelle, E. W., Kim, M. S. and McMurtrey III, J. E.: 1992, Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll 'a' chlorophyll 'b' and carotenoids in soybean leaves, Remote Sensing Environ. 39, 239–247.

    Google Scholar 

  • Clevers, J. G. P.W. and van Leeuwen: 1996, Combined use of optical and microwave remote sensing data for crop growth monitoring, Remote Sensing Environ. 56, 42–51.

    Google Scholar 

  • Curran, P. J., Dungan, J. L., Macler, B. A. and Plummer, S. E.: 1991, The effect of a red leaf pigment on the relationship between red edge and chlorophyll concentration, Remote Sensing Environ. 35, 69–76.

    Google Scholar 

  • Daughtry, C. S. T., Gallo, K. P., Goward, S. N., Prince, S. D. and Kustas, W. P.: 1992, Spectral estimates of absorbed radiation and phytomass production in corn and soybean vanopies, Remote Sensing Environ. 34, 141–152.

    Google Scholar 

  • De Datta, S. K.: 1981, Principles and Practices of Rice Production, Wiley Interscience, New York, pp. 297–333.

    Google Scholar 

  • Delecolle, R., Maas, S. J., Guerif, M. and Baret, F.: 1992, Remote sensing and crop production model: present trends, ISPRS J. Photogrammetry and Remote Sensing 47, 145–161.

    Google Scholar 

  • Fogg, G. E.: 1969, Photosynthesis, English Universities Press, Ltd., London, pp. 25–30.

    Google Scholar 

  • Godkhindi, U. D.: 1995, Study of water management technique in rice in light textured soil, M. E. Dissertation, WRDTC, University of Roorkee (unpublished).

  • Gupta, S. N. and Bhattacharya, A. P.: 1963, Water requirement of rice a principal crop of Uttar Pradesh, Proc. 36th Annual meeting, Central Board of Irrigation and Power, New Delhi.

    Google Scholar 

  • Jacquemoud, S. L. and Baret, F.: 1990, PROSPECT a model of leaf optical properties spectra, Remote Sensing Environ. 34, 75–91.

    Google Scholar 

  • Jacquemoud, S. L., Verdebout, J., Schmuck, G., Amdreoli, G, and Hosgood, B.: 1995, Investigation of leaf biochemistry by statistics, Remote Sensing Environ. 54, 180–188.

    Google Scholar 

  • Jacquemoud, S. L., Ustin, S. L., Verdebout, J., Schmuck, G. Andreoli, G, and Hosgood, B.: 1996, Estimating leaf biochemistry using the PROSPECT leaf optical properties model, Remote Sensing Environ. 56, 194–202.

    Google Scholar 

  • Michael, A. M.: 1983, Irrigation Theory and Practice, Vikas Publishing Pvt., Ltd., pp. 551–560.

  • Munden, R., Curran, P. J. and Catt, J. A.: 1994, The relationship between red edge and chlorophyll concentration in the Broadbalk winter wheat experiment at Rothamsted, Int. J. Remote Sensing 15, 705–709.

    Google Scholar 

  • Patel, N. K., Medhavy T. T., Patnaik, C., Hussain, A. and Das, A.: 1993, Classification of rice crop with ERS-1 SAR data, Proc. National Symposium on Remote Sensing Applications for Resource Management with Special Emphasis on North Eastern Region, Guwahati, Nov. 25–27, pp. 347–352.

  • Pinar, A. and Curran, P. J.: 1996, Grass chlorophyll and the reflectance red edge, Int. J. Remote Sensing 17(2), 351–357.

    Google Scholar 

  • Saxena, C. M., Das, D. K. and Mohta, N.K.: 1991, Spectral response of soybean canopy, Annals Agriculture Research 12, 315–321.

    Google Scholar 

  • Thomas, J. R. and Gausman, H. W.: 1977, Leaf reflectance vs. leaf chlorophyll and carotenoid concentration for eight crops, Agronomy J. 69, 799–802.

    Google Scholar 

  • Tucker, C. J.: 1979, Red and photographic infrared linear combination for monitoring vegetation, Remote Sensing Environ. 8(2), 127–150.

    Google Scholar 

  • Tucker, C. J., Fung, I. Y., Keeling, C. D. and Gammon, R. H.: 1986, Relationship between atmospheric CO variation and a satellite derived vegetation index, Nature 319, 195–199.

    Google Scholar 

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Choubey, V.K., Choubey, R. Spectral Reflectance, Growth and Chlorophyll Relationships for Rice Crop in a Semi-Arid Region of India. Water Resources Management 13, 73–84 (1999). https://doi.org/10.1023/A:1008056400348

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